A nomogram for predicting the risk of neck node metastasis in pathologically node‐negative oral cavity carcinoma

Sawant, Sharada; Dongre, Harsh; Ahire, Chetan; Sharma, Shilpi; Kannan, Sadhana; Mahadik, Snehal; Chaukar, Devendra; Lukmani, Fatima; Patil, Asawari; D’Cruz, Anil; Vaidya, Milind M.; Dongre, Prabhakar M.

doi:10.1111/odi.12696

Cited by 15 publications

(21 citation statements)

References 30 publications

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“…This study demonstrated that the multiparametric MRI-based nomogram is good discrimination tool which can be used to predict individualized metastasis outcome for preoperative evaluation, and high NPV results of the nomogram may help to prevent unnecessary neck surgery and morbidity in patients with early-stage SCCLT. Study of Swawantet al [29]also proposed a nomogram for predicting the risk of neck node metastasis in pathologically node-negative in 103 of T1-T4 oral cavity carcinoma patients by using a combination of protein expression, ultrastructural alterations and clinicopathological parameters. Likewise, Jiang et al [30] developed the nomogram to predict the probability of occult cervical lymph node metastasis before surgery in patients with cN0 SCC of the tongue with high (C-index = 0.846) and good calibration.…”

Section: Discussionmentioning

confidence: 99%

“…Validation cohort analysis was carried out on41 patients who were diagnosed as having T1 tumors 51.20% (21/41), and T2 tumors 48.80% (20/41). All patients were treated with primary resection and END, 29.3% (12/41) of whom had cervical node metastasis (pN+).Considering the nomogram cutoff value of 210 points generated the patients into metastasis risk groups, 25 patients (60.98%) with total score obtained from nomogram less than 210 points had a low metastasis risk. On the other hand, 16 patients (39.02%) with total score obtained from nomogram more than 210 points had a highmetastasis risk.Incidence of nodal metastasisdemonstrated a statistically signi cant difference between the low and high metastasis risk groups (P = 0.001).…”

Section: Clinical Validation Of Mri-based Nomogrammentioning

confidence: 99%

“…Nomograms are currently the most reliable discriminating tools for predicting individualized outcomes in clinical oncology to develop a treatment plan and follow-up strategies in several cancers [23][24][25]. Recently, previous studies have reported nomograms predicting long-term survival rate and predict cervical metastasis in head and neck cancer patients [26][27][28][29][30]. To date, a nomogram for predicting the likelihood of cervical lymph node metastasis pre-operatively of individual patients with early-stage of squamous cell carcinoma of lateral tongue (SCCLT) has not been widely investigated and no study has veri ed functionality of a MRI-based nomogram.…”

Section: Introductionmentioning

confidence: 99%

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Development and Validation of Multiparametric Mri-based Nomogram for Predicting Occult Metastasis Risk in Early Tongue Squamous Cell Carcinoma

Saenthaveesuk

Yang

Zeng

et al. 2020

Preprint

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Background: Nomograms are currently used in predicting individualized outcomes in clinical oncology of several cancers. However, nomograms for evaluating occult nodal metastasis of patients with squamous cell carcinoma of lateral tongue (SCCLT) have not been widely investigated for their functionality. This retrospective cohort study was designed to address this question.Methods: This study was divided into primary and validation cohorts. The primary cohort comprised 120 patients diagnosed between 2012 and 2017, whereas the validation cohort included 41 patients diagnosed thereafter. The diagnostic value of multiparametric MRI, including radiologic tumor thickness threshold (rTTT) in three-dimensions, paralingual distance, and sublingual distance were investigated. A nomogram was developed based on stepwise logistic regression of potential predictors associated with nodal metastasis in the primary cohort and then tested for predictive accuracy in the validation cohort using area under the curve (AUC) and goodness-of-fit tests.Results: Multivariate analysis, tumor size (odd ratio [OR] 15.175, 95% confidence interval [CI] 1.436-160.329, P = 0.024), rTTT (OR 11.528, 95% CI 2.483-53.530, P = 0.002), paralingual distance (OR 11.976, 95% CI 1.981-72.413, P = 0.005), and tumor location (OR 6.311, 95% CI 1.514-26.304, P = 0.011) were included in the nomogram to predict the likelihood of having cervical metastasis. A nomogram cutoff value of 210 points (sensitivity 93.8%, specificity 87.5%) was significantly different to classify the patients metastasis risk group (P< 0.001). Nomogram showed predictive accuracy with AUC 0.881 (95% CI 0.779–0.983, P< 0.001) and good calibration after the validation.Conclusions: A preoperative nomogram incorporating multiparametric MRI demonstrated good prediction and performed adequately in our study. Three-dimensional assessment of occult metastasis risk value obtained from this nomogram can assist in preoperative decision making whether to manage with neck surgery for individual patients with early-stage SCCLT. The probability of nodal metastasis tended to be greater than 20% in patients with high metastasis risk or nomogram total score > 210 points.

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Section: Discussionmentioning

confidence: 99%

Section: Clinical Validation Of Mri-based Nomogrammentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Development and Validation of Multiparametric Mri-based Nomogram for Predicting Occult Metastasis Risk in Early Tongue Squamous Cell Carcinoma

Saenthaveesuk

Yang

Zeng

et al. 2020

Preprint

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“…There are several papers reporting nomograms to estimate overall and disease-specific survival, the risk of local and regional recurrence, symptom severity during radiotherapy or the benefit of receiving adjuvant therapy for head and neck cancer. [21][22][23][24][25][26][27] To the best of our knowledge, however, nomograms for OPLS complications have not yet been developed.…”

Section: Discussionmentioning

confidence: 99%

Nomograms for prediction of postoperative complications in open partial laryngeal surgery

Gallo

Locatello

Larotonda

et al. 2018

Journal of Surgical Oncology

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Background and Objectives Postoperative morbidity after open partial laryngeal surgery (OPLS) may be serious, leading to a prolonged length of hospital stay and increasing costs. We sought to define the predictive factors of complications and to develop nomograms for patients eligible for OPLS based on clinical and surgical data. Methods We critically reviewed 535 patients with laryngeal carcinoma who underwent OPLS at our Institution from 1982 to 2007. We have identified patients affected by postoperative local, airway, dysphagia, bleeding, surgical site infection, dehiscence of pexy, emphysema, and laryngocutaneous fistula complications. We have analyzed them according to age, smoking, alcohol, tumor site, clinical T and N classification, type of OPLS and neck dissection, previous treatments. Prognostic factors were considered in a multivariate logistic regression model with backward stepwise elimination and selected to construct and design nomograms for overall and specific complications. The performance was assessed using the c‐index, receiver operating characteristic, and calibration curves. Results Age, clinical T classification, type of OPLS, and alcohol were related to overall (35%) and airway complications. Nomograms were built for overall, dysphagia, and airway complications. Conclusions We have developed nomograms that can identify high‐risk patients undergoing OPLS and that can help to prevent severe complications and to tailor surgical planning.

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“…Recently, previous studies have reported nomograms predicting long-term survival rate and predict cervical metastasis in head and neck cancer patients [26][27][28][29][30]. To date, a nomogram for predicting the likelihood of cervical lymph node metastasis pre-operatively of individual patients with early-stage of squamous cell carcinoma of lateral tongue (SCCLT) has not been widely investigated and no study has veri ed functionality of a MRI-based nomogram.…”

mentioning

confidence: 99%

Development and validation of multiparametric MRI-based nomogram for predicting occult metastasis risk in early tongue squamous cell carcinoma

Saenthaveesuk

Yang

Zeng

et al. 2020

Preprint

View full text Add to dashboard Cite

Abstract Background Nomograms are currently used in predicting individualized outcomes in clinical oncology of several cancers. However, nomograms for evaluating occult nodal metastasis of patients with squamous cell carcinoma of lateral tongue (SCCLT) have not been widely investigated for their functionality. This retrospective cohort study was designed to address this question. Methods This study was divided into primary and validation cohorts. The primary cohort comprised 120 patients diagnosed between 2012 and 2017, whereas the validation cohort included 41 patients diagnosed thereafter. The diagnostic value of multiparametric MRI, including radiologic tumor thickness threshold (rTTT) in three-dimensions, paralingual distance, and sublingual distance were investigated. A nomogram was developed based on stepwise logistic regression of potential predictors associated with nodal metastasis in the primary cohort and then tested for predictive accuracy in the validation cohort using area under the curve (AUC) and goodness-of-fit tests. Results Multivariate analysis, tumor size (odd ratio [OR] 15.175, 95% confidence interval [CI] 1.436-160.329, P = 0.024), rTTT (OR 11.528, 95% CI 2.483–53.530, P = 0.002), paralingual distance (OR 11.976, 95% CI 1.981–72.413, P = 0.005), and tumor location (OR 6.311, 95% CI 1.514–26.304, P = 0.011) were included in the nomogram to predict the likelihood of having cervical metastasis. A nomogram cutoff value of 210 points (sensitivity 93.8%, specificity 87.5%) was significantly different to classify the patients metastasis risk group (P < 0.001). Nomogram showed predictive accuracy with AUC 0.881 (95% CI 0.779–0.983, P < 0.001) and good calibration after the validation. Conclusions A preoperative nomogram incorporating multiparametric MRI demonstrated good prediction and performed adequately in our study. Three-dimensional assessment of occult metastasis risk value obtained from this nomogram can assist in preoperative decision making whether to manage with neck surgery for individual patients with early-stage SCCLT. The probability of nodal metastasis tended to be greater than 20% in patients with high metastasis risk or nomogram total score > 210 points.

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A nomogram for predicting the risk of neck node metastasis in pathologically node‐negative oral cavity carcinoma

Abstract: The nomogram constructed on postsurgical tumour samples will be a value addition to histopathology for the detection of neck node metastasis in pathologically node-negative patients.

Cited by 15 publications

References 30 publications

Development and Validation of Multiparametric Mri-based Nomogram for Predicting Occult Metastasis Risk in Early Tongue Squamous Cell Carcinoma

Development and Validation of Multiparametric Mri-based Nomogram for Predicting Occult Metastasis Risk in Early Tongue Squamous Cell Carcinoma

Nomograms for prediction of postoperative complications in open partial laryngeal surgery

Development and validation of multiparametric MRI-based nomogram for predicting occult metastasis risk in early tongue squamous cell carcinoma

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